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book's purchasers from a secured Web site. Modeling Derivatives Applications in Matlab, C++, and Excel will be indispensable to sell-side;
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Computational Finance Using C and C#: Derivatives and Valuation, Second Edition provides derivatives pricing information for equity;
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applications. Professional Financial Computing Using Excel and VBA provides reusable, flexible, real-world implementations of financial models. The;
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This book is the definitive and most comprehensive guide to modeling derivatives in C++ today. Providing readers with not only the theory;
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on theory and instead highlights the implementation of the models. All of the models found here have been coded in Matlab and C#. This;
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. Focusing on the MATLAB toolboxes especially dedicated to science, finance, and engineering, MATLAB (R) with Applications to Engineering, Physics;
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. Focusing on the MATLAB toolboxes especially dedicated to science, finance, and engineering, MATLAB (R) with Applications to Engineering, Physics;
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++. This is the only complete how-to guide and reference book for the creation of high performance add-ins for Excel in C and C++ for users in the;
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financial houses in London. The numerical analysis is easily replicable with Excel and Matlab.;
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. In Electromagnetic Modeling and Simulation, author Levent Sevgi explains techniques for solving real-time complex physical problems using MATLAB-based short;
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Chemical Engineers Using Excel (R), VBA, and MATLAB (R). Focusing on Excel gives the advantage of it being generally available, since it;
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approaches and reach a solution faster than with spreadsheets or traditional programming languages, such as CC++ or Java. MATLAB Symbolic;
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Written in plain English and based on successful client engagements, Data Modeling of Financial Derivatives: A Conceptual Approach;
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optimizers TCA library for numerous software applications and programming languages including: MATLAB, Excel Add-In, Python, Java, CC;
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The book is an examination of Excel and the specific ways it can be used useful in various financial applications.;
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The book is an examination of Excel and the specific ways it can be used useful in various financial applications.;
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Book gives hands-on exposure on procedures and solutions using various computational tools such as MS-Excel(R), MATLAB(R), CHEMCAD(R;
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. Encompassing a diverse mathematical core, Elements of Matrix Modeling and Computing with MATLAB examines a variety of applications and their modeling;
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Design and Optimization of Thermal Systems, Third Edition: with MATLAB (R) Applications provides systematic and efficient approaches to the;
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An updated look at the theory and practice of financial analysis and modeling Financial Analysis and Modeling Using Excel and VBA, Second;
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courses/modules for engineering students. The use of web-based simulations, solid modeling, and software such as MATLAB and Excel is employed to;
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This edited volume will highlight recent research in derivatives modelling and markets in a post-crisis world across a number of dimensions;
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practitioner that are unique. The MATLAB (R) scripts alone are worth the price. -Daniel C. Ross, Ph. D, Northrop Grumman Corporation;
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quickly set up and solve decision models, the authors show how and why the methods work and combine the user's power to logically model and;
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Exploring roles critical to environmental toxicology, Modeling and Simulation in Ecotoxicology with Applications in MATLAB (R) and Simulink;
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Exploring roles critical to environmental toxicology, Modeling and Simulation in Ecotoxicology with Applications in MATLAB (R) and Simulink;
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This book provides a comprehensive introduction to modern financial modeling using Excel, VBA, standards of financial modeling and model;
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